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Computer Vision and Machine Learning Approaches for Defect Detection in 3D-Printed Cementitious Materials: A Systematic Review.

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Bibliographic Details
Title: Computer Vision and Machine Learning Approaches for Defect Detection in 3D-Printed Cementitious Materials: A Systematic Review.
Authors: Musarat, Muhammad Ali1,2, Borg, Ruben Paul1,2,3, ruben.p.borg@um.edu.mt, Wei, Jingjie3, Debono, Carl James4, Khayat, Kamal1,3
Source: Infrastructures; May2026, Vol. 11 Issue 5, p159, 20p
Database: Applied Science & Technology Source
FullText Text:
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DbLabel: Applied Science & Technology Source
An: 194174337
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PubType: Academic Journal
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        Value: 10.3390/infrastructures11050159
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      – Code: eng
        Text: English
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              Text: May2026
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              Y: 2026
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